{"total":246,"rows":[{"id":"2407.01392","title":"Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion","created":"2024-07-01","cited_by_count":681,"area":"diffusion"},{"id":"2310.15110","title":"Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model","created":"2023-10-23","cited_by_count":521,"area":"diffusion"},{"id":"2402.17177","title":"Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models","created":"2024-02-27","cited_by_count":477,"area":null},{"id":"2412.00131","title":"Open-Sora Plan: Open-Source Large Video Generation Model","created":"2024-11-28","cited_by_count":296,"area":null},{"id":"2501.13918","title":"Improving Video Generation with Human Feedback","created":"2025-01-23","cited_by_count":284,"area":"diffusion"},{"id":"2303.14389","title":"MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer","created":"2023-03-25","cited_by_count":262,"area":"lr"},{"id":"2305.10924","title":"Structural Pruning for Diffusion Models","created":"2023-05-18","cited_by_count":195,"area":"diffusion"},{"id":"2502.06764","title":"History-Guided Video Diffusion","created":"2025-02-10","cited_by_count":171,"area":"diffusion"},{"id":"2405.07503","title":"Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation","created":"2024-05-13","cited_by_count":166,"area":"diffusion"},{"id":"2304.13731","title":"Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model","created":"2023-04-24","cited_by_count":145,"area":"lr"},{"id":"2406.14548","title":"Consistency Models Made Easy","created":"2024-06-20","cited_by_count":144,"area":"diffusion"},{"id":"2401.11605","title":"Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers","created":"2024-01-21","cited_by_count":118,"area":"diffusion"},{"id":"2306.07881","title":"Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data","created":"2023-06-13","cited_by_count":113,"area":"diffusion"},{"id":"2504.05741","title":"DDT: Decoupled Diffusion Transformer","created":"2025-04-08","cited_by_count":109,"area":"diffusion"},{"id":"2404.09956","title":"Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization","created":"2024-04-15","cited_by_count":97,"area":"diffusion"},{"id":"2501.05803","title":"Test-time Alignment of Diffusion Models without Reward Over-optimization","created":"2025-01-10","cited_by_count":93,"area":"diffusion"},{"id":"2311.07604","title":"Finetuning Text-to-Image Diffusion Models for Fairness","created":"2023-11-11","cited_by_count":92,"area":"diffusion"},{"id":"2403.14404","title":"Physics-Informed Diffusion Models","created":"2024-03-21","cited_by_count":90,"area":"diffusion"},{"id":"2412.08821","title":"Large Concept Models: Language Modeling in a Sentence Representation Space","created":"2024-12-11","cited_by_count":89,"area":null},{"id":"2409.18114","title":"EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation","created":"2024-09-26","cited_by_count":87,"area":null},{"id":"2309.16496","title":"CCEdit: Creative and Controllable Video Editing via Diffusion Models","created":"2023-09-28","cited_by_count":82,"area":"diffusion"},{"id":"2309.05019","title":"SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models","created":"2023-09-10","cited_by_count":72,"area":"diffusion"},{"id":"2412.21037","title":"TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization","created":"2024-12-30","cited_by_count":68,"area":"diffusion"},{"id":"2410.10356","title":"FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification","created":"2024-10-14","cited_by_count":64,"area":"diffusion"},{"id":"2501.16764","title":"DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation","created":"2025-01-28","cited_by_count":50,"area":"diffusion"},{"id":"2503.20853","title":"Unified Multimodal Discrete Diffusion","created":"2025-03-26","cited_by_count":49,"area":"diffusion"},{"id":"2412.12953","title":"Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning","created":"2024-12-17","cited_by_count":48,"area":"diffusion"},{"id":"2410.14919","title":"Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step","created":"2024-10-19","cited_by_count":47,"area":"diffusion"},{"id":"2407.03297","title":"Improved Noise Schedule for Diffusion Training","created":"2024-07-03","cited_by_count":39,"area":"diffusion"},{"id":"2409.06202","title":"RealisDance: Equip controllable character animation with realistic hands","created":"2024-09-10","cited_by_count":37,"area":null},{"id":"2505.16792","title":"REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training","created":"2025-05-22","cited_by_count":37,"area":"diffusion"},{"id":"2310.05793","title":"DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models","created":"2023-10-09","cited_by_count":36,"area":"diffusion"},{"id":"2407.06938","title":"RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models","created":"2024-07-09","cited_by_count":36,"area":"diffusion"},{"id":"2602.11401","title":"Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation","created":"2026-02-11","cited_by_count":36,"area":"diffusion"},{"id":"2306.04990","title":"Multi-Architecture Multi-Expert Diffusion Models","created":"2023-06-08","cited_by_count":35,"area":"diffusion"},{"id":"2306.00354","title":"Addressing Negative Transfer in Diffusion Models","created":"2023-06-01","cited_by_count":33,"area":"diffusion"},{"id":"2309.06599","title":"Reasoning with Latent Diffusion in Offline Reinforcement Learning","created":"2023-09-12","cited_by_count":33,"area":"diffusion"},{"id":"2507.23785","title":"Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis","created":"2025-07-31","cited_by_count":33,"area":"diffusion"},{"id":"2403.09176","title":"Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts","created":"2024-03-14","cited_by_count":31,"area":"diffusion"},{"id":"2312.11666","title":"HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles","created":"2023-12-18","cited_by_count":30,"area":null},{"id":"2405.17403","title":"A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training","created":"2024-05-27","cited_by_count":30,"area":"diffusion"},{"id":"2504.14977","title":"RealisDance-DiT: Simple yet Strong Baseline towards Controllable Character Animation in the Wild","created":"2025-04-21","cited_by_count":29,"area":null},{"id":"2310.07138","title":"Denoising Task Routing for Diffusion Models","created":"2023-10-11","cited_by_count":28,"area":"diffusion"},{"id":"2503.22600","title":"Generative Latent Neural PDE Solver using Flow Matching","created":"2025-03-28","cited_by_count":28,"area":"diffusion"},{"id":"2403.10348","title":"Denoising Task Difficulty-based Curriculum for Training Diffusion Models","created":"2024-03-15","cited_by_count":27,"area":"diffusion"},{"id":"2310.13545","title":"ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection","created":"2023-10-20","cited_by_count":25,"area":"diffusion"},{"id":"2309.10740","title":"ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation","created":"2023-09-19","cited_by_count":22,"area":"diffusion"},{"id":"2405.14477","title":"LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models","created":"2024-05-23","cited_by_count":22,"area":"diffusion"},{"id":"2306.06991","title":"Fast Diffusion Model","created":"2023-06-12","cited_by_count":21,"area":"diffusion"},{"id":"2401.00110","title":"Diffusion Model with Perceptual Loss","created":"2023-12-30","cited_by_count":21,"area":"diffusion"},{"id":"2312.09069","title":"PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion","created":"2023-12-14","cited_by_count":20,"area":"diffusion"},{"id":"2406.01956","title":"Enhance Image-to-Image Generation with LLaVA-generated Prompts","created":"2024-06-04","cited_by_count":20,"area":null},{"id":"2411.04873","title":"Boosting Latent Diffusion with Perceptual Objectives","created":"2024-11-06","cited_by_count":20,"area":"diffusion"},{"id":"2405.05953","title":"Frame Interpolation with Consecutive Brownian Bridge Diffusion","created":"2024-05-09","cited_by_count":19,"area":null},{"id":"2501.10945","title":"Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond","created":"2025-01-19","cited_by_count":18,"area":null},{"id":"2503.10127","title":"PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models","created":"2025-03-13","cited_by_count":18,"area":"mllm"},{"id":"2309.07867","title":"Beta Diffusion","created":"2023-09-14","cited_by_count":17,"area":"diffusion"},{"id":"2404.14416","title":"Conditional diffusion models for downscaling and bias correction of Earth system model precipitation","created":"2024-04-05","cited_by_count":17,"area":"diffusion"},{"id":"2409.19128","title":"Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models","created":"2024-09-27","cited_by_count":17,"area":"diffusion"},{"id":"2412.19351","title":"ETTA: Elucidating the Design Space of Text-to-Audio Models","created":"2024-12-26","cited_by_count":17,"area":null},{"id":"2403.12906","title":"TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation","created":"2024-03-19","cited_by_count":15,"area":null},{"id":"2410.23332","title":"MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts","created":"2024-10-30","cited_by_count":15,"area":"diffusion"},{"id":"2309.17074","title":"AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation","created":"2023-09-29","cited_by_count":14,"area":"diffusion"},{"id":"2404.07946","title":"Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon","created":"2024-03-14","cited_by_count":14,"area":"diffusion"},{"id":"2411.13552","title":"REDUCIO! Generating 1K Video within 16 Seconds using Extremely Compressed Motion Latents","created":"2024-11-20","cited_by_count":14,"area":null},{"id":"2604.09168","title":"ELT: Elastic Looped Transformers for Visual Generation","created":"2026-04-10","cited_by_count":14,"area":"distill"},{"id":"2606.27377","title":"DanceOPD: On-Policy Generative Field Distillation","created":"2026-06-25","cited_by_count":14,"area":"diffusion"},{"id":"2310.08442","title":"Unmasking Bias in Diffusion Model Training","created":"2023-10-12","cited_by_count":13,"area":"diffusion"},{"id":"2410.08315","title":"Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning","created":"2024-10-10","cited_by_count":12,"area":"diffusion"},{"id":"2502.11234","title":"MaskFlow: Discrete Flows For Flexible and Efficient Long Video Generation","created":"2025-02-16","cited_by_count":12,"area":null},{"id":"2503.23717","title":"Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space","created":"2025-03-31","cited_by_count":12,"area":"diffusion"},{"id":"2309.16421","title":"Distilling ODE Solvers of Diffusion Models into Smaller Steps","created":"2023-09-28","cited_by_count":11,"area":"diffusion"},{"id":"2311.01018","title":"Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning","created":"2023-11-02","cited_by_count":11,"area":"diffusion"},{"id":"2402.17563","title":"Structure-Guided Adversarial Training of Diffusion Models","created":"2024-02-27","cited_by_count":11,"area":"diffusion"},{"id":"2405.17825","title":"Diffusion Model Patching via Mixture-of-Prompts","created":"2024-05-28","cited_by_count":11,"area":"diffusion"},{"id":"2505.00482","title":"JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers","created":"2025-05-01","cited_by_count":11,"area":"diffusion"},{"id":"2404.00237","title":"Joint Pedestrian Trajectory Prediction through Posterior Sampling","created":"2024-03-30","cited_by_count":10,"area":"diffusion"},{"id":"2410.16646","title":"TopoDiffusionNet: A Topology-aware Diffusion Model","created":"2024-10-22","cited_by_count":10,"area":"diffusion"},{"id":"2503.08434","title":"Bokeh Diffusion: Defocus Blur Control in Text-to-Image Diffusion Models","created":"2025-03-11","cited_by_count":10,"area":"diffusion"},{"id":"2404.13984","title":"RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance","created":"2024-04-22","cited_by_count":9,"area":"diffusion"},{"id":"2407.17571","title":"Diffusion Models For Multi-Modal Generative Modeling","created":"2024-07-24","cited_by_count":9,"area":"diffusion"},{"id":"2411.09998","title":"Adaptive Non-uniform Timestep Sampling for Accelerating Diffusion Model Training","created":"2024-11-15","cited_by_count":9,"area":"diffusion"},{"id":"2412.02852","title":"Learnable Sparsity for Vision Generative Models","created":"2024-12-03","cited_by_count":9,"area":"diffusion"},{"id":"2502.03687","title":"Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free","created":"2025-02-06","cited_by_count":9,"area":"diffusion"},{"id":"2503.07416","title":"TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision","created":"2025-03-10","cited_by_count":9,"area":"diffusion"},{"id":"2507.18060","title":"BokehDiff: Neural Lens Blur with One-Step Diffusion","created":"2025-07-24","cited_by_count":8,"area":"diffusion"},{"id":"2511.09895","title":"Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation","created":"2025-11-13","cited_by_count":8,"area":"diffusion"},{"id":"2306.11363","title":"Masked Diffusion Models Are Fast Distribution Learners","created":"2023-06-20","cited_by_count":7,"area":"diffusion"},{"id":"2312.05412","title":"CMMD: Contrastive Multi-Modal Diffusion for Video-Audio Conditional Modeling","created":"2023-12-08","cited_by_count":7,"area":"diffusion"},{"id":"2410.06664","title":"Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning","created":"2024-10-09","cited_by_count":7,"area":"diffusion"},{"id":"2503.21774","title":"Optimal Stepsize for Diffusion Sampling","created":"2025-03-27","cited_by_count":7,"area":"diffusion"},{"id":"2505.22306","title":"Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer","created":"2025-05-28","cited_by_count":7,"area":"diffusion"},{"id":"2507.05914","title":"Accelerating Diffusion Model Training under Minimal Budgets: A Condensation-Based Perspective","created":"2025-07-08","cited_by_count":7,"area":"diffusion"},{"id":"2510.24830","title":"The Generation Phases of Flow Matching: a Denoising Perspective","created":"2025-10-28","cited_by_count":7,"area":"diffusion"},{"id":"2602.18647","title":"Noise Scheduling as Information-Guided Allocation in Diffusion Training","created":"2026-02-20","cited_by_count":7,"area":null},{"id":"2404.02241","title":"Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better","created":"2024-04-02","cited_by_count":6,"area":"diffusion"},{"id":"2412.06295","title":"See Further When Clear: Curriculum Consistency Model","created":"2024-12-09","cited_by_count":6,"area":"diffusion"},{"id":"2506.01666","title":"Synthesis of discrete-continuous quantum circuits with multimodal diffusion models","created":"2025-06-02","cited_by_count":6,"area":"diffusion"},{"id":"2511.02777","title":"PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing","created":"2025-11-04","cited_by_count":6,"area":null},{"id":"2511.18050","title":"UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios","created":"2025-11-22","cited_by_count":6,"area":"diffusion"}],"next_cursor":"100"}